2020 Virtual AIChE Annual Meeting

Session: Design and Operations Under Uncertainty

Chair

Matthew Stuber, University of Connecticut

Co-Chairs

Kirti Yenkie, Rowan University
Faruque Hasan, Texas A&M University

Presentations

08:00 AM

(411a) A Two-Stage Stochastic Programming Model for Optimization Under Exogenous and Type I Endogenous Uncertainties
David Young, Selen Cremaschi

08:15 AM

(411b) Tighter Bounds on Moment Trajectories of Stochastic Processes Via Semidefinite Programming
Flemming Holtorf, Paul I. Barton

08:30 AM

(411c) A General Framework for Simultaneous Quantification of Parametric and Structural Model Uncertainty
Francesco Rossi, Linas Mockus, Gintaras Reklaitis

08:45 AM

(411d) Optimal Scenario Tree Generation for Stochastic Programming Using Sinkhorn Distance
Sanjula Kammammettu, Zukui Li

09:00 AM

(411e) Multistage Robust Mixed-Integer Optimization Under Endogenous Uncertainty
Wei Feng, Yiping Feng, Qi Zhang

09:15 AM

(411f) Recent Advances in Bounding Transient PDE Models with Parametric Uncertainty
Chenyu Wang, Matthew Stuber

09:30 AM

(411g) Integrated Optimization of Design, Storage Sizing, and Maintenance Policy As a Markov Decision Process Considering Varying Failure Rates
Ignacio Grossmann, Yixin Ye, Sivaraman Ramaswamy, Jose M. Pinto

09:45 AM

(411h) A Multi-Stage Stochastic Programming Approach for Scheduling of Batch Processes Under Decision-Dependent Uncertainty
Kavitha Menon, Ricardo Fukasawa, Luis Ricardez-Sandoval